Abstract
The future of the grid will be powered by AI—or undermined by it. Artificial intelligence is rapidly reshaping grid operations, improving fault detection, forecasting accuracy, and real-time optimization. As AI systems move closer to operational decision loops, however, they introduce new consequence pathways: expanded attack surfaces, model integrity risks, regulatory exposure, and human-automation challenges. This talk presents a consequence-driven framework for deploying AI responsibly in the electric grid. Attendees will gain practical strategies to strengthen resilience, boost reliability, and deploy AI securely — ensuring the grid of the future is not only smarter but safer.
| Original language | English |
|---|---|
| State | Published - Feb 19 2026 |
Keywords
- 25 - ENERGY STORAGE
- 29 - ENERGY PLANNING, POLICY AND ECONOMY
- 32 - ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
- 42 - ENGINEERING
- AI
- AI Applications
- AI Control & Optimization
- AI Detection
- AI Prediction
- Artificial Intelligence
- Autonomous Control
- Center for Securing Digital Energy Technology
- CIE
- Cognito
- CSDET
- Cyber-informed Engineering
- Data Centers
- Model Drift
- Supply Chain Risk
INL Publication Number
- INL/CON-26-90504
- 212703
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